Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine

S Lai, A Farnham, NW Ruktanonchai… - Journal of travel …, 2019 - academic.oup.com
Rationale for review The increasing mobility of populations allows pathogens to move
rapidly and far, making endemic or epidemic regions more connected to the rest of the world …

Connecting mobility to infectious diseases: the promise and limits of mobile phone data

A Wesolowski, CO Buckee… - The Journal of …, 2016 - academic.oup.com
Human travel can shape infectious disease dynamics by introducing pathogens into
susceptible populations or by changing the frequency of contacts between infected and …

[HTML][HTML] Quantifying travel behavior for infectious disease research: a comparison of data from surveys and mobile phones

A Wesolowski, G Stresman, N Eagle, J Stevenson… - Scientific reports, 2014 - nature.com
Human travel impacts the spread of infectious diseases across spatial and temporal scales,
with broad implications for the biological and social sciences. Individual data on travel …

[HTML][HTML] Using Google Location History data to quantify fine-scale human mobility

NW Ruktanonchai, CW Ruktanonchai, JR Floyd… - International journal of …, 2018 - Springer
Background Human mobility is fundamental to understanding global issues in the health
and social sciences such as disease spread and displacements from disasters and conflicts …

The duration of travel impacts the spatial dynamics of infectious diseases

JR Giles, E zu Erbach-Schoenberg… - Proceedings of the …, 2020 - National Acad Sciences
Humans can impact the spatial transmission dynamics of infectious diseases by introducing
pathogens into susceptible environments. The rate at which this occurs depends in part on …

[PDF][PDF] Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors

G Barlacchi, C Perentis, A Mehrotra, M Musolesi… - EPJ data science, 2017 - Springer
Understanding and modeling the mobility of individuals is of paramount importance for
public health. In particular, mobility characterization is key to predict the spatial and temporal …

[HTML][HTML] What can urban mobility data reveal about the spatial distribution of infection in a single city?

R Moss, E Naghizade, M Tomko, N Geard - BMC public health, 2019 - Springer
Background Infectious diseases spread through inherently spatial processes. Road and air
traffic data have been used to model these processes at national and global scales. At …

[HTML][HTML] Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based …

N Kishore, AR Taylor, PE Jacob, N Vembar… - The Lancet Digital …, 2022 - thelancet.com
Background In early 2020, the response to the SARS-CoV-2 pandemic focused on non-
pharmaceutical interventions, some of which aimed to reduce transmission by changing …

Spatial association of mobility and COVID-19 infection rate in the USA: A county-level study using mobile phone location data

AI Tokey - Journal of Transport & Health, 2021 - Elsevier
Introduction Human mobility has been a central issue in the discussion from the beginning of
COVID-19. While the body of literature on the relationship of COVID transmission and …

Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models

C Panigutti, M Tizzoni, P Bajardi… - Royal Society …, 2017 - royalsocietypublishing.org
The recent availability of large-scale call detail record data has substantially improved our
ability of quantifying human travel patterns with broad applications in epidemiology …